[Lynda.com] Cleaning Up Your Excel 2013 Data [2014, ENG]

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Post 13-Jul-2015 06:10

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Cleaning Up Your Excel 2013 Data
Год выпуска: 2014
Производитель: Lynda
Сайт производителя: lynda.com
Автор: Dennis Taylor
Продолжительность: 1:59
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Need to get data from a business-management system file, database software, text file, or poorly designed Excel worksheet into optimal shape for Excel 2013? This course can help. Dennis Taylor explores the functions, commands, and techniques in Excel that restructure data, remove unwanted characters, convert data into the desired format, and prepare data for efficient analysis. He'll cover adjusting row and column placement; transposing data with Replace and Substitute functions, the Text to Columns command, and the new Flash Fill; and formatting and converting text, numbers, and other values.
Реструктуризация данных в Экселе.

Содержание

Introduction
Welcome
Using the exercise files
1. Readjusting Data Layouts
Moving and inserting rows and columns of data with a simple drag
Transposing row-column layouts into column-row layouts
Using Sort to eliminate empty rows and columns
2. Replacing Data at the Character Level
Replacing data with the Replace command and SUBSTITUTE function
Dealing with special characters, wildcards, and the REPLACE function
Removing leading single quotes
Removing trailing minus signs while converting data to negative values
3. Adjusting Date-Like Data
Splitting unusual date formats into columns
Using the Text to Columns command for selected date formats
Using the DATEVALUE and TIMEVALUE functions
Converting between time units: Day/hour, year/day, etc.
Converting to and from Julian dates
4. Working with Number-Text Conversion Issues
Converting text data to values
Using error-checking options to convert text data to values
Adding leading zeros
5. Using Spell Checker and AutoCorrect
Correcting multiple misspellings
Creating data-entry shortcuts via the AutoCorrect feature
6. Using Specialized Techniques
Using text functions
Filling in missing title information
Combining data via concatenation and Flash Fill
Splitting data into multiple columns with Text to Columns
Understanding Text to Columns and Flash Fill differences
Conclusion
Next steps
Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 15fps, 497kbps
Аудио: AAC, 44.1kHz, 128kbps, mono

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